Monday, 22 June 2015 from 19:00 to 21:00 (HKT)

Ticket Information

Event Details

Conquering Complexity : Analytics and Automation with Data Pipelines

Data driven businesses expect their analytics to be insightful right when decisions are being made. To reduce the time it takes to deliver those insights, data engineers automate parts of the analytics process by setting up data pipelines. But how do you set up a data pipeline without escalating complexity and earning your future self’s wrath?

We welcome Michal Szczecinski as this month’s guest speaker to share his thought process for setting up an effective analytics environments. Michal is the Analytics Scientist at GoGoVan, and founder of Oxford’s Quantified Self and Artificial Intelligence meetups.

Analytics teams spend the majority of their time on processing, aggregating, blending and improving the quality of data. It is thus essential to automate a number of these processes and tasks. Not only to provide efficient support but also to allow analytics teams to turn to new questions and business problems as they arise. Michal will cover common cases, challenges, frameworks and patterns he came across when solving for the complexity that comes with automating an analytics workflow.

Symbol & Key

This is the second in a series of monthly talks to cultivate exchanges in the wider data science community. The talks are entry-level, so all are welcome.

Monday, 22 June 2015 from 19:00 to 21:00 (HKT)

Organiser

Symbol & Key

Symbol & Key is a series of talks organised to support exchanges and foster connections in Hong Kong's Data Science community. The talks are entry-level, but at the vanguard of the discipline, so it should be accessible to aspiring data scientists and experts alike.